Unit details
Prerequisites
NIT1102 - Introduction to Programming
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Learning Outcomes
1. | Apply basic concepts and techniques of data mining to solve practical problem; | ||
2. | Critically evaluate advantages and disadvantages of data mining solutions on real world datasets; | ||
3. | Experiment and evaluate machine-learning algorithms on various benchmark datasets; and | ||
4. | Apply machine-learning algorithms with considerations of data privacy and professional ethics and evaluate their usefulness and useability. |
Assessment
Assessment type | Description | Grade |
---|---|---|
Test | Open book online test | 10% |
Test | Open book online test | 10% |
Project | Data mining project - code, and report | 40% |
Project | Machine learning project- code, and report | 40% |
Where to next?
As part of a course
This unit is studied as part of the following courses. Refer to the course page for information on how to apply for the course.
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